Safe learning agents are agents whose learned behaviour can be predicted and analysed. Non-symbolic learning algorithms such as reinforcement learning rely on emergence and thus are not a good candidate to building safe AI systems. Our contention is that logic-based algorithms such as explanation-based learning and inductive logic programming should instead be used to design and implement safe, intelligent agents.

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